Economics
An economist's starter kit.
Contents
Research
380,000 (macro) time series from 80 sources. Supports plugins for importing data into Excel, Stata, R, and others. Has a mobile app.
International macro time series. Has data import plugins.
The standard reference for macro data.
Aggregate financial and economic data from multiple sources. Some data vendors sell their data via this service. Good integration with statistical software.
Data related to development economics.
Overview of macro data sources.
Over 1,000,000 government datasets. When works, this service looks like this. Otherwise, you'll see a 403 error.
A version control system. Useful if you want to revert changes done months ago or collaborate with other authors. DropBox also has version control, but Git is more explicit. A short intro. Or use GitHub Desktop if you like it simple.
Data
Economics on GitHub
Projects
Economics Textbook (Openstax).
Toolbox to solve and simulate nonlinear models with heterogeneous agents.
Computational tools for financial economics, Python code base and tutorials using Jupyter notebooks, includes data retrieval, graphics, and optimization.
A list of puzzles in macroeconomics.
Tools to solve, filter, and estimate DSGE models with occasionally binding constraints.
Computational economics in Python.
Topics in Computational Economics
Course materials for Zurich Initiative for Computational Economics (ZICE) 2014.